Comprehensive Study Guide: Optimization and Curve Sketching
1. Variables and Profit Maximization Strategy
Profit vs. Price Variables:
- Capital P stands for total profit.
- Small p stands for price per unit.
- The speaker emphasizes that these are distinct variables, though students may choose different letters (e.g., J) for profit as long as the distinction is maintained.
Substitution Process:
- The formula linking quantity q and price p is q=120−p.
- To express the profit formula solely in terms of p, substitute (120−p) everywhere q appears.
Maximization Steps:
- 1. Multiply out the simplified profit expression and collect like terms.
- 2. Calculate the first derivative of the profit function with respect to price (P′(p)).
- 3. Set the first derivative to zero (P′(p)=0).
- In the provided example, this yields a price p=70.
Calculating the Largest Profit:
- Finding p=70 only identifies the optimal price.
- To find the actual maximum profit, you must plug p=70 back into the original profit formula, not the derivative (which would necessarily equal zero).
2. The Second Derivative Test
Determining Maxima/Minima:
- To verify p=70 is a maximum, calculate the second derivative (P′′(p)).
- In this case, P′′(p)=−2.
Interpretation of Constant Second Derivatives:
- Even if the second derivative is a constant (e.g., −2) and contains no p to plug the value into, it applies to all points on the curve.
- Since −2<0, the function is always concave down, meaning any critical point found is a maximum.
Mark Distribution for the Test:
- Calculating the second derivative correctly (1 mark).
- Stating that P′′(p)<0 (1 mark).
- Providing a final conclusion that the point is a maximum (1 mark).
3. Alternative Approaches and Endpoint Analysis
Substitution in Terms of q:
- One could alternatively rearrange q=120−p to p=120−q and substitute p out of the profit formula.
- Differentiating with respect to q would yield an optimal quantity, which must then be plugged back into the price-quantity equation to find the final price.
Absolute vs. Local Maximums:
- Technically, to find an absolute maximum, one must check the boundaries/endpoints of the domain.
- In this context, the endpoints for p are typically p=0 (price is zero) and p=120 (quantity is zero).
- Example Calculation:
- At p=0 or p=120, profits may be negative (e.g., −2400).
- Compare these values to the profit at p=70. The largest resulting value is the absolute maximum.
4. Curve Sketching: Domain and Intercepts
Function Analyzed:f(x)=x2ln(x2).
Determining the Domain:
- Strategy: Start by assuming the domain is all real numbers, then subtract "errors."
- Error 1: Denominator cannot be zero (x2=0⟹x=0).
- Error 2: Logarithms cannot take zero or negative arguments (x2>0).
- Because the x is squared inside the natural log, negative numbers are allowed (they become positive before the log is applied). Only x=0 is excluded.
- Domain: All real numbers except zero (x∈R,x=0).
X-Intercepts (y=0):
- Set 0=x2ln(x2).
- Multiply by x2 to get 0=ln(x2).
- Solve using the definition of a logarithm: e0=x2⟹1=x2.
- x=±1.
Y-Intercepts (x=0):
- To find y-intercepts, substitute x=0 into the function.
- Since x=0 is undefined (division by zero and ln(0)), there is no y-intercept.
Parity and Symmetry:
- Test for even/odd by plugging in (−x).
- f(−x)=(−x)2ln((−x)2)=x2ln(x2)=f(x).
- Because f(−x)=f(x), the function is even.
- An even function is symmetrical about the y-axis.
5. Stationary and Singular Points
The First Derivative: The speaker references a derivative where the numerator is 2(1−ln(x2)).
Solving for Stationary Points:
- Set the numerator to zero: 1−ln(x2)=0⟹ln(x2)=1.
- e1=x2⟹x=±e.
- Decimal approximation: e≈1.65.
- Corresponding y-values: Plug ±e into f(x).
- Numerator: ln((e)2)=ln(e)=1.
- Denominator: (e)2=e.
- Stationary points are at (e,e1) and (−e,e1).
Singular Points vs. Asymptotes:
- A singular point occurs where the derivative is undefined but the original function is defined (e.g., y=∣x∣ at x=0).
- x=0 makes the derivative of f(x)=x2ln(x2) undefined, but since the original function is also undefined at x=0, it is an asymptote, not a singular point.
6. First Derivative Number Line Analysis
Critical values for the number line: −e, 0, and e.
Conclusion:
- (−e,e1) is a local maximum.
- (e,e1) is a local maximum.
7. Second Derivative and Points of Inflection
In the 2025 assessment, the second derivative and x-coordinates for inflection points were provided to students.
Inflection Points: Occur where f′′(x)=0.
The speaker identifies the x-values for these points as ±e5/3 (approx. ±2.3).
Number Line for f′′(x):
- Critical values: −e5/3, 0, and e5/3.
- Even if a point is an asymptote (like x=0), it must be included on the number line to check for changes in concavity.
8. Questions & Discussion
Question: If zero is a singular point, would the graph have a sharp corner?
Response: If zero were a singular point, the graph would have a sharp corner or a vertical tangent. However, in this specific function, x=0 is a vertical asymptote because the function itself is undefined there.
Question: Should we include the endpoint in the interval when stating where a function is increasing?
Response: Generally, functions are considered increasing on an interval if the derivative is ≥0. There is a technical distinction between "increasing" (includes ≥0) and "strictly increasing" (only >0), but usually, including the endpoint (e.g., x≤−e) is acceptable and won't lose marks.